• DocumentCode
    2769958
  • Title

    Implicit user-adaptive system engagement in speech, pen and multimodal interfaces

  • Author

    Oviatt, Sharon

  • Author_Institution
    Incaa Designs, Seattle
  • fYear
    2007
  • fDate
    9-13 Dec. 2007
  • Firstpage
    496
  • Lastpage
    501
  • Abstract
    The present research contributes new empirical research, theory, and prototyping toward developing implicit user-adaptive techniques for system engagement based exclusively on speech amplitude and pen pressure. The results reveal that people will spontaneously adapt their communicative energy level reliably, substantially, and in different modalities to designate and repair an intended interlocutor in a computer-mediated group setting. Furthermore, this sole behavior can be harnessed to achieve system engagement accuracies in the 75 - 86 % range. In short, there was a high level of correct system engagement based exclusively on implicit cues in users´ energy level during communication.
  • Keywords
    handwriting recognition; human factors; light pens; speech recognition; speech-based user interfaces; user interface management systems; computer-mediated group setting; handwriting recognition; human factors; implicit user-adaptive system engagement; multimodal interface; pen interface; speech interface; speech recognition; user interface design; Adaptive systems; Computational modeling; Energy states; Feedback; Humans; Loudspeakers; Mathematics; Peer to peer computing; Prototypes; Speech enhancement; Adaptive systems; handwriting recognition; pressure effects; speech recognition; user interface human factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automatic Speech Recognition & Understanding, 2007. ASRU. IEEE Workshop on
  • Conference_Location
    Kyoto
  • Print_ISBN
    978-1-4244-1746-9
  • Electronic_ISBN
    978-1-4244-1746-9
  • Type

    conf

  • DOI
    10.1109/ASRU.2007.4430162
  • Filename
    4430162